Senior Site Reliability Engineer deploying Kubernetes - based AI infrastructure on NVIDIA - certified hardware for Mirantis. Ensuring reliable, secure, scalable cloud operations and customer delivery.
About the role
- Fullstack Developer at Mila, responsible for AI-driven insect monitoring tools. Involves backend, DevOps, and collaboration with ML researchers.
Responsibilities
- You will work within a small team directly on the InsectAI project (https://www.insectai.org/), a research initiative to monitor insect populations using autonomous camera traps and artificial intelligence.
- As a senior fullstack developer, you will be responsible for evolving and maintaining our core tools, notably the Antenna web platform (trap data management and analysis) and our machine-learning API/backend (ami-data-companion).
- You will design the infrastructure to process millions of images from field devices, run complex AI models (species detection and classification), and provide a smooth interface for researchers and biologists.
- Backend Development: Architect, develop, and optimize APIs and backend services, primarily in Python (Django). Ensure integration between user interfaces and machine-learning inference engines.
- Large-Scale Data Processing: Manage massive ingestion of images and metadata. Develop and optimize queues and asynchronous tasks (Celery, Redis, RabbitMQ) for image processing by our AI models (detectors, species classifiers).
- Infrastructure and DevOps: Lead the containerized environment (Docker, Docker Compose) and cloud deployments (Openstack, TeamCity). Maintain and improve continuous integration and deployment pipelines (CI/CD).
- ML Collaboration: Work with AI researchers to integrate new computer vision models into production.
- Frontend Development: Contribute to improving the Antenna user interface to allow scientists to view images, correct model predictions, and export statistical data.
- Quality and Open Source: Serve as a technical lead on public GitHub repositories, ensuring code review and technical documentation of our tools.
Requirements
- You are an autonomous developer with a strong inclination toward systems engineering, backend architecture, and infrastructure robustness.
- You are comfortable in a hybrid ecosystem that combines classical software engineering, cloud hosting, and data science/machine learning.
- You have a strong interest in biodiversity conservation, ecology, and open source principles.
- You enjoy solving complex problems, such as handling error states when processing thousands of images or optimizing queries on large databases.
- University degree in computer science, software engineering, or a related field, or an equivalent combination of education and professional experience.
- Minimum of 5 years of software development experience, with a strong focus on backend development and DevOps.
- Excellent command of Python and at least one robust web framework (ideally Django).
- Solid experience with asynchronous task execution and message brokers (Celery, RabbitMQ, Redis).
- Proficiency with containerization tools (Docker) and cloud infrastructure orchestration (Openstack).
- Proven experience setting up CI/CD pipelines and maintaining collaborative code repositories.
- Practical skills with relational databases (PostgreSQL) to effectively manage large volumes of time-series data and metadata.
- Functional knowledge of frontend development (JavaScript/TypeScript, React or other modern frameworks) to work on visualization interfaces.
- Asset: Understanding of machine-learning workflows (PyTorch).
- Fluency in French and English to collaborate effectively within our lab and with international partners.
Benefits
- The opportunity to contribute to a unique mission with significant impact;
- Flexible hours, summer schedule, and the possibility of remote work;
- A workplace in the heart of Little Italy, in the trendy Mile-Ex neighborhood, close to public transit;
- A team of domain experts—passionate and engaging people;
- A collaborative and inclusive work environment.
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